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Beyond Omni: A Unified MLLM for Embodied Sensory Understanding

Paper recorded by Signals 4 on 2026-10-19 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-19 on arXiv · recorded by Signals 4 on 2026-10-20

Category: cs.CV · 计算机视觉 · first seen 2026-10-20

Abstract

Recent embodied systems increasingly build on multimodal large language models (MLLMs) for their pretrained understanding and reasoning capabilities, but their perception of the physical world remains largely limited to basic modalities such as vision and audio. However, broadening MLLMs to more diverse sensory modalities from the physical environment is challenging: their representations are ofte

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#230 most recent of 756 cs.CV papers we have recorded · ↑ newer: V-JEPA Hand: Simple, Accurate and Fast 3D Hand and Camera Trajectory R · ↓ older: Learning to Correct Geometry in Generated Videos
Cite this page: Beyond Omni: A Unified MLLM for Embodied Sensory Understanding: the #230 most recent of 756 cs.CV papers we have recorded (as of 2026-10-19). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/beyond-omni-a-unified-mllm-for-embodied-sensory-understanding.html
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